Causal Meta-Analysis for Aggregated Data R package CaMeA version 0.1.2 CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis) A tool for causal meta-analysis. This package implements the aggregation formulas and inference methods proposed in Berenfeld et al. (2025) <doi:10.48550/arXiv.2505.20168>. Users can input aggregated data across multiple studies and compute causally meaningful aggregated effects of their choice (risk difference, risk ratio, odds ratio, etc) under user-specified population weighting. The built-in function camea() allows to obtain precise variance estimates for these effects and to compare the latter to a classical meta-analysis aggregate, the random effect model, as implemented in the 'metafor' package <https://CRAN.R-project.org/package=metafor>. Software Imports: purrr, metafor, tibble, dplyr Suggests: knitr, rmarkdown, kableExtra Clement Berenfeld <clement.berenfeld@inria.fr> Comprehensive R Archive Network (CRAN) Clement Berenfeld [aut, cre], Ahmed Boughdiri [ctb], Charif El Gataa [aut], Julie Josse [ctb] AGPL (>= 3) 2026-03-10 application/tgz https://CRAN.R-project.org/package=CaMeA doi:10.32614/CRAN.package.CaMeA